• DocumentCode
    3096994
  • Title

    A survey on topological observability of power systems

  • Author

    Shahraeini, Mohammad ; Javidi, M. Hossein

  • Author_Institution
    Dept. of Electr. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
  • Volume
    3
  • fYear
    2011
  • fDate
    8-9 Sept. 2011
  • Firstpage
    373
  • Lastpage
    376
  • Abstract
    Monitoring of system operation conditions is essential for secure operation of power systems. This is traditionally accomplished by state estimators which provide creditable data from raw data acquired from measurement devices. Measurement devices of state estimators may vary from power flow/injection and voltage/current magnitude to phasor measurement unit (PMU). On the other hand, observability is fundamental part of state estimators. Four kinds of observability algorithms are used in state estimators; algebraic, numerical, topological and hybrid. This paper aims to provide a survey of topological observability algorithms. To do this, such algorithms are firstly classified into conventional and PMU based. Then, related studies are investigated and summarized. It is observed that PMU based algorithms are computationally more simple, systematic, and efficient than conventional ones.
  • Keywords
    phasor measurement; power system measurement; power system security; algebraic observability algorithms; measurement devices; numerical observability algorithms; phasor measurement unit; power flow/injection; power systems secure operation; state estimators; system operation conditions monitoring; topological observability algorithms; voltage/current magnitude; Classification algorithms; Current measurement; Observability; Phasor measurement units; Power systems; State estimation; Voltage measurement; Phasor Measurement Unit; Power System Observability Algorithms; State Estimation; Topological Observability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Automation Conference (PEAM), 2011 IEEE
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9691-4
  • Type

    conf

  • DOI
    10.1109/PEAM.2011.6135115
  • Filename
    6135115